Stock Market Prediction

41 papers with code • 3 benchmarks • 4 datasets

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Libraries

Use these libraries to find Stock Market Prediction models and implementations

Most implemented papers

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

google-research/bert NAACL 2019

We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers.

RoBERTa: A Robustly Optimized BERT Pretraining Approach

pytorch/fairseq 26 Jul 2019

Language model pretraining has led to significant performance gains but careful comparison between different approaches is challenging.

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

baidu/Senta ACL 2020

In particular, the prediction of aspect-sentiment pairs is converted into multi-label classification, aiming to capture the dependency between words in a pair.

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements

harishpuvvada/BitCoin-Value-Predictor 28 Oct 2016

In this paper, we have applied sentiment analysis and supervised machine learning principles to the tweets extracted from twitter and analyze the correlation between stock market movements of a company and sentiments in tweets.

Revisiting Pre-Trained Models for Chinese Natural Language Processing

ymcui/MacBERT Findings of the Association for Computational Linguistics 2020

Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and consecutive variants have been proposed to further improve the performance of the pre-trained language models.

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

AI4Finance-Foundation/FinRL 19 Nov 2020

In this paper, we introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

gkeng/Listening-to-Chaotic-Whishpers--Code 6 Dec 2017

Stock trend prediction plays a critical role in seeking maximized profit from stock investment.

Twitter mood predicts the stock market

peanutshawny/lstm-stock-predictor 14 Oct 2010

A Granger causality analysis and a Self-Organizing Fuzzy Neural Network are then used to investigate the hypothesis that public mood states, as measured by the OpinionFinder and GPOMS mood time series, are predictive of changes in DJIA closing values.

Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model

imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid 5 Aug 2018

Predicting the price correlation of two assets for future time periods is important in portfolio optimization.

Temporal Relational Ranking for Stock Prediction

hennande/Temporal_Relational_Stock_Ranking 25 Sep 2018

Our RSR method advances existing solutions in two major aspects: 1) tailoring the deep learning models for stock ranking, and 2) capturing the stock relations in a time-sensitive manner.